Yu Wei, Zeng Li
School of Biomedical Engineering, Hubei University of Science and Technology, Xianning, China.
Engineering Research Center of Industrial Computed Tomography Nondestructive Testing of the Education Ministry of China, Chongqing University, Chongqing, China.
Scanning. 2016 Jan-Feb;38(1):4-13. doi: 10.1002/sca.21235. Epub 2015 Jun 30.
Helical trajectory satisfying the condition of exact reconstruction, has been widely utilized in the commercial computed tomography (CT). While limited by the scanning environment in some practical applications, the conventional helical cone-beam CT imaging is hard to complete, thus, developing an imaging system suited for long-object may be valuable. Three-dimensional C-arm CT is an innovative imaging technique which has been greatly concerned. Since there is a high degree of freedom of C-arm, more flexible image acquisition trajectories for 3D imaging can be achieved. In this work, a fast iterative reconstruction algorithm based on total variation minimization is developed for a trajectory of limited-angle inverse helical cone-beam CT, which can be applied to detect long-object without slip-ring technology. The experimental results show that the developed algorithm can yield reconstructed images of low noise level and high image quality.
满足精确重建条件的螺旋轨迹已在商业计算机断层扫描（CT）中得到广泛应用。然而，在一些实际应用中受扫描环境限制，传统螺旋锥束CT成像难以完成，因此，开发一种适用于长物体的成像系统可能具有重要价值。三维C形臂CT是一种备受关注的创新成像技术。由于C形臂具有高度的自由度，可以实现更灵活的三维成像图像采集轨迹。在这项工作中，针对有限角度反向螺旋锥束CT轨迹，开发了一种基于总变分最小化的快速迭代重建算法，该算法可应用于无需滑环技术检测长物体。实验结果表明，所开发的算法能够生成低噪声水平和高图像质量的重建图像。
